Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…

Background: Despite devotion of substantial resources and effort to increase parent/school partnerships, gaps remain between policy rhetoric and practice, especially in high-poverty communities. Current research focuses on parent involvement or effects of parent motivational beliefs on parent choice for behavior; however, it does not address the…